Key Facts

Remote From:

Spain

Full time

English

Hard Skills

Other Skills

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Accountability
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Multitasking
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Proactivity
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Results Focused
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Organizational Skills
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Detail Oriented
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Verbal Communication Skills
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Self-Motivation
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Problem Solving

Roles & Responsibilities

Strong coding ability in Python, Scala or Java with Git/Bitbucket experience
Experience in machine learning and predictive modeling (deep neural networks, logistic regression, clustering, time series, auto-regressive models)
Proficiency with SQL and data warehousing; familiarity with big data tools such as Apache Spark
Excellent written and verbal English communication; self-motivated, proactive, detail-oriented and able to work independently

Requirements:

Contribute to architectural decisions and develop state-of-the-art deep learning models
Propose, implement and evaluate new models; measure performance and iterate improvements
Build full-stack scalable data analytics and machine learning solutions in collaboration with Tech and Ops teams
Tackle unique modeling challenges (e.g., extreme positive sample sparsity, labeling delays) and translate findings into actionable insights for business stakeholders

Smadex SLU

Marketing & Advertising

About Smadex SLU

Smadex is the transparent DSP engineered for growth. The number one solution for user acquisition, retargeting and branding campaigns. We address the challenges and concerns of marketers by providing a fully transparent platform built on strong technology, countless programmatic management features and powerful machine learning algorithms that focus on achieving real outcomes. Advertisers can access global consumers on the highest quality brand safe and viewable inventory at scale, and capture attention using strong and engaging ad formats to drive performance sales and brand metrics. Smadex partners with the leading third party platforms to provide the most innovative solutions and independent measurement. Our open platform can easily plug and play with any new external partners. Smadex is a technology company led by engineering and data science, working with agencies and direct clients across the globe.Smadex is a business unit of Entravision Communications (NYSE: EVC)

Industry: Marketing & Advertising

Founded: 2018

Company size: 501 - 1000

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Job description

Smadex is a leading advertising technology company founded in Barcelona in 2011 and sold to American-based and stock-listed Entravision in 2018 (NYSE::EVC). We are one of the top mobile ad-tech companies in the world and the largest Demand Side Platform (DSP) based in Europe, with our revenues over +$100M and consistently growing +40% YoY over the past years.

We compete in a highly advanced technology-driven industry where Machine Learning and cutting-edge cloud-based big data architectures are the biggest factor in achieving the company’s growth.

Our mission is to continue to improve our ad-tech platform to help our clients achieve their programmatic advertising campaign goals, and we want to give our employees a job they’ll love, where they will be challenged to improve results through real-life engineering and data analysis and where everyone’s implication has an impact.

Are you ready to be part of the new unicorn? Keep reading!

What will you do:

You will be part of all the major architectural decisions and developments we make on our algorithms, especially in our state-of-the-art deep learning models.
You will be responsible for proposing and developing new models, measuring the performance and improving our algorithms. Our ML Engineer role combines the classic "ML Scientist" and "Data Engineer" role at other companies
You will also play an analytical role researching, designing, implementing, and deploying full-stack scalable data analytics and machine learning solutions to challenge business issues, as well as working closely with our Tech and Ops team
You will work on unique modeling challenges not covered in the scientific literature, like extreme positive sample sparsity and labeling delay.
Analyse data from different sources and provide actionable insights to business and engineering stakeholders

Please note that we do NOT provide VISA sponsorship. Candidates without a legal permit to work in Spain won't be considered.

What you need to have:

Very strong coding ability in at least one of the following: Python, Scala, Java
Knowledge of Bitbucket/Git version tools
Experience in machine learning and predictive modelling: deep neural networks, logistic regression, clustering and time series analysis & auto-regressive models
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical significance tests)
Experience working with SQL and data warehousing
Problem solving oriented mentality and a very proactive approach
Self-motivated with the ability to work independently and sense of accountability
Detail-oriented, well organized, and able to multi-task in a results-oriented business environment
Excellent communication skills both verbal and written
Fluency in English.

Extra points for :-)

Master’s degree in Machine Learning, AI, Statistics, Applied mathematics, Computer Science
Proficiency in building high-performance algorithms in production
Experience with transformer architectures and LLMs.
Experience with reporting and data visualization tools such as Jupyter Notebook, Zeppelin, Tableau, Periscope, PowerBI or others
Experience in digital marketing platforms and user acquisition
Experience with and Apache Spark and Nodejs programming language
Familiarity with AWS services such as EMR, EC2, Athena, S3, Redshift
Used to Linux environments

Reward package:

Integrate a highly motivated and young team.
Great compensation package.
Top location at the heart of Barcelona in a penthouse office with a rooftop terrace, barbeque, and a fully stocked fridge.
Work from home: 2 days/week
Private Health Insurance
Access to LinkedIn Learning
Meal vouchers - Tickets Restaurant monthly allowance.
Monthly gym allowance: Choose between DiR Gym and Wellhub
Monthly TGIF events.
Regular team-building events.
Fun and friendly work environment with talented marketers and engineers from over 40+ countries
And more!